Multimodal Artificial Intelligence-based Pathogenomics Improves Survival Prediction In Oral Squamous Cell Carcinoma

This article discusses the development of a novel prognostic algorithm for oral squamous cell carcinoma (OSCC) using a combination of pathogenomics and AI-based techniques. The study utilized machine learning and deep learning algorithms to identify predictive features for survival outcomes in OSCC patients. Results showed that the multimodal model outperformed unimodal models, demonstrating the potential of AI in improving prognostic prediction for this disease.